Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 301 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | HR | 0.5 | +1100 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 302 | MLB | Jake Burger 10 games | TEX vs CHW@TEX | RBI | 0.5 | +158 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 303 | MLB | Jake McCarthy 10 games | COL vs WSN@COL | H | 1.5 | +160 | 1.6 | +0.1 | 3/5 | +0.4 | 49 | F | 1.0 | LOSS | WIN | |
| 304 | MLB | James Jarvis 10 games | vs SDP@ATL | R | 0.5 | +200 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 305 | MLB | Jared Triolo 10 games | PIT vs PIT@NYY | R | 0.5 | +170 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 306 | MLB | Jared Triolo 10 games | PIT vs PIT@NYY | TB | 1.5 | +195 | 1.8 | +0.3 | 3/5 | +0.2 | 49 | F | 1.0 | LOSS | WIN | |
| 307 | MLB | Jared Young 10 games | NYM vs NYM@MIL | H | 0.5 | +103 | 0.8 | +0.3 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 308 | MLB | Javier Sanoja 10 games | MIA vs MIA@HOU | R | 0.5 | +165 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 309 | MLB | Javier Sanoja 10 games | MIA vs MIA@HOU | TB | 1.5 | +170 | 1.6 | +0.1 | 3/5 | +0.4 | 49 | F | 2.0 | WIN | LOSS | |
| 310 | MLB | Jeremiah Jackson 10 games | BAL vs BAL@BOS | RBI | 0.5 | +190 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | — | PENDING | PENDING | |
| 311 | MLB | JJ Wetherholt 10 games | STL vs STL@LAA | RBI | 0.5 | +200 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 1.0 | WIN | LOSS | |
| 312 | MLB | Joey Ortiz 10 games | MIL vs NYM@MIL | R | 0.5 | +190 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | 2.0 | WIN | LOSS | |
| 313 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 314 | MLB | Leody Taveras 10 games | BAL vs BAL@BOS | R | 0.5 | +140 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 315 | MLB | Merrill Kelly 10 games | AZ vs Athletics@ | K | 3.5 | -125 | 4 | +0.5 | 2/5 | +1.5 | 49 | F | 3.0 | LOSS | WIN | |
| 316 | MLB | Michael Harris II 10 games | ATL vs SDP@ATL | R | 0.5 | +130 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 317 | MLB | Michael Massey 10 games | KC vs SFG@KCR | R | 0.5 | +155 | 0.6 | +0.1 | 3/5 | -0.5 | 49 | F | 1.0 | WIN | LOSS | |
| 318 | MLB | Mickey Moniak 10 games | COL vs WSN@COL | H | 0.5 | -320 | 1 | +0.5 | 3/5 | +0.7 | 49 | F | 1.0 | WIN | LOSS | |
| 319 | MLB | Mickey Moniak 10 games | COL vs WSN@COL | R | 0.5 | -115 | 0.8 | +0.3 | 3/5 | +0.8 | 49 | F | 0.0 | LOSS | WIN | |
| 320 | MLB | Miguel Vargas 10 games | CWS vs CHW@TEX | R | 0.5 | +115 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 321 | MLB | Mike Yastrzemski 10 games | ATL vs SDP@ATL | R | 0.5 | +160 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 322 | MLB | Mike Yastrzemski 10 games | ATL vs SDP@ATL | TB | 1.5 | +175 | 1.8 | +0.3 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 323 | MLB | Mookie Betts 10 games | LAD vs LAD@PHI | TB | 1.5 | +127 | 2 | +0.5 | 1/5 | +2 | 49 | F | 0.0 | LOSS | WIN | |
| 324 | MLB | Nathan Lukes 10 games | TOR vs TBR@TOR | TB | 1.5 | +136 | 1.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 325 | MLB | Nico Hoerner 10 games | CHC vs DET@CHC | R | 0.5 | +145 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 326 | MLB | Ozzie Albies 10 games | ATL vs SDP@ATL | RBI | 0.5 | +227 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 327 | MLB | Paul Goldschmidt 10 games | NYY vs PIT@NYY | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 328 | MLB | Randy Arozarena 10 games | SEA vs CIN@SEA | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 329 | MLB | Riley Greene 10 games | DET vs DET@CHC | R | 0.5 | +110 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | 1.0 | WIN | LOSS | |
| 330 | MLB | Ryan McMahon 10 games | NYY vs PIT@NYY | TB | 1.5 | +160 | 1.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 331 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@NYY | R | 0.5 | +140 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 332 | MLB | Seiya Suzuki 10 games | CHC vs DET@CHC | H | 0.5 | -189 | 1 | +0.5 | 4/5 | -0.6 | 49 | F | 1.0 | WIN | LOSS | |
| 333 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | R | 0.5 | +110 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 334 | MLB | Steven Kwan 10 games | CLE vs MIN@CLE | H | 1.5 | +220 | 1.6 | +0.1 | 3/5 | -0.1 | 49 | F | 3.0 | WIN | LOSS | |
| 335 | MLB | Steven Kwan 10 games | CLE vs MIN@CLE | R | 0.5 | +115 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 336 | MLB | TJ Rumfield 10 games | COL vs WSN@COL | R | 0.5 | +100 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 337 | MLB | Travis Bazzana 10 games | CLE vs MIN@CLE | R | 0.5 | +100 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 338 | MLB | Travis Bazzana 10 games | CLE vs MIN@CLE | RBI | 0.5 | +184 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 339 | MLB | Trea Turner 10 games | PHI vs LAD@PHI | HR | 0.5 | +500 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 340 | MLB | Trevor Larnach 10 games | MIN vs MIN@CLE | RBI | 0.5 | +277 | 0.8 | +0.3 | 3/5 | -0.1 | 49 | F | 3.0 | WIN | LOSS | |
| 341 | MLB | Tyler Stephenson 10 games | CIN vs CIN@SEA | TB | 1.5 | +180 | 2.4 | +0.9 | 1/5 | +1.9 | 49 | F | 2.0 | WIN | LOSS | |
| 342 | MLB | Vinnie Pasquantino 10 games | KC vs SFG@KCR | R | 0.5 | +130 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 343 | MLB | Willi Castro 10 games | COL vs WSN@COL | R | 0.5 | +110 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 344 | MLB | Willy Adames 10 games | SF vs SFG@KCR | HR | 0.5 | +500 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 345 | MLB | Yordan Alvarez 10 games | HOU vs MIA@HOU | H | 1.5 | +190 | 1.8 | +0.3 | 3/5 | +0.4 | 49 | F | 2.0 | WIN | LOSS | |
| 346 | MLB | Bailey Ober 4 games | MIN vs MIN@CLE | K | 3.5 | -200 | 4.5 | +1 | 2/4 | +0.5 | 48 | F | 2.0 | LOSS | WIN | |
| 347 | MLB | Brandon Nimmo 10 games | TEX vs CHW@TEX | RBI | 0.5 | +186 | 1 | +0.5 | 2/5 | -0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 348 | MLB | Christian Encarnacion-Strand 2 games | BAL vs BAL@BOS | RBI | 0.5 | +220 | 1 | +0.5 | 1/2 | +0 | 48 | F | 0.0 | LOSS | WIN | |
| 349 | MLB | Coby Mayo 10 games | BAL vs BAL@BOS | TB | 1.5 | +160 | 2 | +0.5 | 2/5 | +0.2 | 48 | F | 2.0 | WIN | LOSS | |
| 350 | MLB | Cole Young 10 games | SEA vs CIN@SEA | RBI | 0.5 | +214 | 1 | +0.5 | 2/5 | +0.1 | 48 | F | 0.0 | LOSS | WIN |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.